Anais do XIX Simpósio Brasileiro de Sensoriamento Remoto

Soil moisture can be estimated by three approaches using remote sensing techniques, optical, thermal, and microwave methods. The use of optical methods has the advantage of relying only on data from optical sensors, which have high availability, high spatial and temporal resolution, and don’t rely on field collected data. For example, the OPTRAM (Optical Trapezoid Model) is based on a linear relationship between soil moisture and a transformed short-wave infrared (STR) reflectance, and hypothetically requires only one parameterization for a region, and can be reproduced on different dates, being invariant to the time of data acquisition. In this context, the objective of the present work is to evaluate different methods for the parameterization of the trapezoidal model to estimate soil moisture.